• Tidak ada hasil yang ditemukan

CHAPTER 5 DISCUSSION, CONCLUSION AND IMPLICATIONS

5.5 Conclusion

In conclusion, this study has proven the significance of the factors affecting customer loyalty of online food delivery (dependent variable) which are price quality, service quality, information quality, food quality and privacy and security (independent variables). From the results from 500 respondents, We may conclude that the independent factors have a positive connection with the dependent variable.

References

Abd Aziz, N. N., & Abd Wahid, N. (2018). Factors influencing online purchase intention among university students. International journal of academic research in business and social sciences,8(7), 702-717. DOI: 10.6007/IJARBSS/v8-i7/4413

Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review

of empirical research. Psychological bulletin, 84(5), 888.

https://psycnet.apa.org/record/1978-20968-001

Casidy, R., & Wymer, W., (2016). A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price. Journal of Retailing and Consumer Services, 32, 189–197. doi: 10.1016/j.jretconser.2016.06.014

Chai, L. T., & Yat, D. N. C. (2019). Online food delivery services: Making food delivery the new normal.Journal of Marketing advances and Practices,1(1), 62-77.

Coelho, P. S., & Henseler, J. (2012). Creating customer loyalty through service customization.

European Journal of Marketing.

Connor, T. (2019, September 12). System of profound knowledge. Medium. Retrieved March 6, 2022, from https://medium.com/10x-curiosity/system-of-profound-knowledge-ce8cd368ca62 D. Suhartanto, B. T. Chen, Z. Mohi and A. Sosianika, "Exploring Loyalty to Specialty Food

Among Tourist and Resident," British Food Journal, 120(5), pp. 1120-1131, 2018

Daud, D., & Ho, M. Y., (2019). Orientation And Time-Saving Orientation Towards Food Delivery Intermediaries (FDI) Services: An Exploratory Study. Global Scientific Journals.

7(2), 175-190.

https://www.researchgate.net/publication/331087317_THE_RELATIONSHIP_BETWEEN_

CONSUMERS%27_PRICE-SAVING_ORIENTATION_AND_TIME-

SAVING_ORIENTATION_TOWARDS_FOOD_DELIVERY_INTERMEDIARIES_FDI_S ERVICES_AN_EXPLORATORY_STUDY

DelVecchio, D., & Puligadda, S., (2012). The effects of lower prices on perceptions of brand quality: a choice task perspective. Journal of Product & Brand Management, 21(6), 465–474.

doi: 10.1108/10610421211264946

Deming, W. E. (1993). A system of profound knowledge.

Diallo, M. F., Coutelle‐Brillet, P., Riviere, A., & Zielke, S. (2015). How do price perceptions of different brand types affect shopping value and store loyalty?. Psychology & Marketing, 32(12), 1133-1147.

Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. doi: 10.11648/j.ajtas.20160501.11 Evans, T. J. (1996). Deming's System of Profound Knowledge: An Overview for International

Educators.

Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: three basic elements of loyalty to a web site, Industrial Management & Data Systems, 106(5), 601- 620.

Ha, J., & Jang, S. (2010). Effects of service quality and food quality: The moderating role ofatmospherics in an ethnic restaurant segment. International Journal of HospitalityManagement, 29(3), 520–529.

Hwang, J., & Choe, J. Y. (Jacey). (2019). Exploring perceived risk in building successful drone food delivery services. International Journal of Contemporary Hospitality Management, 31(8), 3249–3269. https://doi.org/10.1108/IJCHM-07- 2018-0558

Information quality, system quality, and service outcome quality on trust and distrust. J. Strat.

Inform. Syst. 26, 118–141. doi: 10.1016/j.jsis.2017.01.001

Intention of Consumers of Online Food Delivery Platform Based on an Information System

Success Model. Frontiers in Psychology, 3267. DOI:

https://doi.org/10.3389/fpsyg.2021.716796

J. Ha and S. Jang, "Effects of service quality and food quality: The moderating role of atmospherics in an ethnic restaurant segment," International Journal of Hospitality Management 29, pp. 520-529, 2013

Jeon, M., M., & Jeong, M., (2017). Customers’ perceived website service quality and its effects on e-loyalty. International Journal of Contemporary Hospitality Management, 29(1), 438–

457. doi: 10.1108/ijchm-02-2015-0054

K. Ryu and H. Han, "Influence of the Quality of Food, Service, and Physical Environment on Customer Satisfaction and Behavioral Intention in Quick-Casual Restaurants: Moderating Role of Perceived Price," Journal of Hospitality & Tourism Research, pp. 310-329, 2015 Kamel, H., (2021). Food delivery services: From odd job to the most in demand. The Malaysian

Reserve. Retrieved March 4, 2022, from https://themalaysianreserve.com/2021/01/01/food- delivery-services-from-odd-job-to-the-most-in-demand/

Kang, J., & Young, N. (2018). The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management. doi:10.1016/j.ijhm.2018.10.011

KENPRO, (2012) Sample Size Determination Using Krejcie and Morgan Table. Retrieved July 27, 2021, from http://www.kenpro.org/sample-size-determination-using-krejcie-and-morgan- table/

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educ psychol meas.

Lau, T., C., & Ng, D., (2019). Online Food Delivery Services: Making Food Delivery the New Normal. Journal of Marketing Advances and Practices. 1(1). 63-76.

https://www.researchgate.net/publication/334050513_Online_Food_Delivery_Services_Maki ng_Food_Delivery_the_New_Normal

Lim, J., (2020). MCO a big win for online food deliveries and cloud kitchens. The Edge Markets.

Retrieved March 4, 2022, from https://www.theedgemarkets.com/article/mco-big-win- online-food-deliveries-and-cloud-kitchens

Liu W.K., Lee Y.S., and Hung, L.M. (2017). The interrelationships among service quality, customer satisfaction, and customer loyalty: Examination of the fast-food industry. Journal of Foodservice Business Research, 20(2), 146–162.

Macías-Rendón, W., Rodríguez-Morales, K., & Barriga-Medina, H. R. (2021). COVID-19 lockdown and the satisfaction with online food delivery providers. Estudios Gerenciales, 37(159), 200–209. https://doi.org/10.18046/j.estger.202 1. 159.4331

Marateb, H. R., Mansourian, M., Adibi, P., & Farina, D. (2014). Manipulating measurement scales in medical statistical analysis and data mining: A review of methodologies. Journal of

Research in Medical Sciences, 19(1), 47-56.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963323/

McKnight, D., Lankton, N., Nicolaou, A., and Price, J. (2017). Distinguishing the effects of B2B Mishra, P., Pandey, C., Singh, U., & Gupta, A. (2018). Scales of Measurement and Presentation

of Statistical Data. Annals of Cardiac Anaesthesia, 21(4), 419-422. doi:

10.4103/aca.ACA_131_18

Moon, Y., & Armstrong, D. J. (2020). Service quality factors affecting customer attitudes in online-to-offline commerce. In Information Systems and e-Business Management (Vol. 18, Issue 1).Springer Berlin Heidelberg. https://doi.org/10.1007/s10257-019-00459-y

Moon, Y., & Armstrong, D., J., (2019). Service quality factors affecting customer attitudes in online-to-offline commerce. Information Systems and e-Business Management, 18(1), 1–34.

doi: 10.1007/s10257-019-00459-y

N. Chamhuri, "Consumer Perceptions of Food Quality in Malaysia," British Food Journal, pp.

1168-1187, 2015.

Naderifar, M., Goli, H., & Ghaljaei, F. (2017). Snowball Sampling: A Purposeful Method of Sampling in Qualitative Research. Strides in Development of Medical Education, 14(3), 1-6.

doi: 10.5812/sdme.67670

Namkung, Y., and Jang, S. (2007). Does food quality really matter in restaurants? Its impact on customer satisfaction and behavioral intentions. Journal of Hospitality & Tourism Research, 31(3), 387–409

Pee, L., Jiang, J., & Klein, G., (2018). E-store loyalty: Longitudinal comparison of website usefulness and satisfaction. International Journal of Market Research, 147078531775204. doi:

10.1177/1470785317752045

Pitchay, A. A., Ganesan, Y., Zulkifli, N. S., & Khaliq, A. (2021). Determinants of customers' intention to use online food delivery application through smartphone in Malaysia. British Food Journal.

Prasetyo, Y. T., Tanto, H., Mariyanto, M., Hanjaya, C., Young, M. N., Persada, S. F., ... & Redi, A. A. N. P. (2021). Factors affecting customer satisfaction and loyalty in online food delivery service during the COVID-19 pandemic: Its relation with open innovation. Journal of Open Innovation: Technology, Market, and Complexity,7(1), 76.

Rahi, S., Alnaser, F. M., & Abd Ghani, M. (2019). Designing survey research: recommendation for questionnaire development, calculating sample size and selecting research paradigms.

Economic and Social Development: Book of Proceedings, 1157-1169.

Ramli, N., Ghani, F. A., Nawawi, W. N. W., & Majid, H. A. M. A. (2020). Intention to Use Online Food Ordering Services Among Universities Students During COVID-19 Pandemic.

International Journal of Academic Research in Business and Social Sciences, 11(13), 394–

405. doi: 10.6007/IJARBSS/v11-i13/8556

Rasheed, F. A., & Abadi, M. F. (2014). Impact of service quality, trust and perceived value on customer loyalty in Malaysia services industries. Procedia-Social and Behavioral Sciences, 164, 298-304.

Rasli, M. A. M., Zulkefli, N. H., Salleh, N. S. A., Ghani, F. A., Razali, N. A., & Idris, R. S. N. R.

(2020). Global Business and Management Research: An International Journal, 12(4), 679- 689. http://gbmrjournal.com/pdf/v12n4/V12N4-66.pdf

Razak, N. A., Malik, H. K. A., Rentah, F., & Mazlan, M.N. H. (2021). A Comprehensive Study of Privacy and Security Risk Awareness Among Mobile Internet Users for Social Networks Sites in Malaysia. International Journal of Business and Technology Management, 3(1), 1-20.

Saad, A., T., (2020). Factors affecting online food delivery service in Bangladesh: an empirical study. British Food Journal. 123(2), 535-550. doi: 10.1108/BFJ-05-2020-0449

Sarkar, S., Chauhan, S., & Khare, A. (2020). A metanalysis of antecedents and consequences of trust in mobile commerce. International Journal of Information Management, 50, 286-301.

SendPulse, (2022). What is Customer Loyalty: Definition and Guide. Retrieved March 4, 2022, from https://sendpulse.com/support/glossary/customer-loyalty

Shoeb, A., (2020). Customer Satisfaction vs Customer Loyalty: What Is the Difference.

Smartkarrot. Retrieved March 4, 2022, from

https://www.smartkarrot.com/resources/blog/customer-satisfaction-vs-customer-loyalty/

Sidharta, S. M., Adityo, D. B., Iqbal, P. M., & Gunadi, W., (2021). Customer Loyalty Analysis on Online Food Delivery Services. Turkish Journal of Computer and Mathematics Education, 12(3), 4003-4013. doi: 10.17762/turcomat.v12i3.1690

Sin Yin, T., Su Yin, L., & Sook Fern, Y. (2021). Online food delivery services: cross-sectional study of consumers’ attitude in Malaysia during and after the COVID-19 pandemic [version 1; peer review: 1 not approved]. Retrieved 23 March 2022, from https://f1000research.com/articles/10-972

Suchánek, P., & Králová M., (2019). Customer satisfaction, loyalty, knowledge and competitiveness in the food industry. Economic Research, 32(1), 1237-1255. doi:

10.1080/1331677X.2019.1627893

Suhartanto, D., Helmi Ali, M., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty Sultan, M. U., & Uddin, M. (2011). Consumers’ Attitude towards Online Shopping: Factors

influencing Gotland consumers to shop online. Unpublished Master’s Thesis, Gotland University

Tan, H., & Wee, V. E. K., (2021). Examining the Factors that Influence Consumer Satisfaction withOnline Food Delivery inKlang Valley, Malaysia. The Journal of Management Theory and Practice (JMTP), 2(2), 88-95. doi: 10.37231/jmtp.2021.2.2.115

Tech, J. E. T. (2020). The influence of online food delivery service quality on customer satisfaction and customer loyalty: the role of personal innovativeness. Journal of Environmental Treatment Techniques,8(1), 6-12.

toward online food delivery service: the role of e-service quality and food quality. Journal of foodservice business research, 22(1), 81-97.

UTAR, n.d. UTAR at a Glance. https://study.utar.edu.my/utar-at-a-glance.php

V. C. S. Yeo, S.-K. Goh and S. Rezaei, "Consumer Experiences, Attitude and Behavioral Intention toward Online Food Delivery (OFD) Service," Journal of Retailing and Consumer Services, pp. 150-162, 2017.

Wang, J., Shen, X., Huang, X., & Liu, Y. (2021). Influencing Factors of the Continuous Usage Wheaton, B., & Schrott, B. (2018). Total Quality Management. Theory and Practice.

Oldenbourg Wissenschaftsverlag. DOI: https://doi.org/10.1515/9783486798821

Y. Namkung and S. Jang, "Does Food Quality Really Matter in Restaurants? Its Impact On Customer Satisfaction and Behavioral Intentions," Journal of Hospitality & Tourism Research , pp. 387-410, 2007

Yellowbees, (2021). Top 12 food delivery platforms for F&B merchants in Malaysia. Retrieved March 4, 2022, from https://www.yellowbees.com.my/top-food-delivery-platforms-malaysia/

Yuchen, G. (2020). Factors Affecting Online Food Quality Control among Delivers in Delivery Process in Malaysia. IOSR Journal of Business and Management,22(5), 26-29. DOI: DOI:

10.9790/487X-2205012629

Yusra & Agus, A., (2019). The Influence of Online Food Delivery Service Quality on Customer Satisfaction and Customer Loyalty: The Role of Personal Innovativeness. Journal of

Environmental Treatment Techniques, 8(1), 6-12.

https://www.researchgate.net/publication/339551642_The_Influence_of_Online_Food_Deliv ery_Service_Quality_on_Customer_Satisfaction_and_Customer_Loyalty_The_Role_of_Pers onal_Innovativeness

Yusra, Y., Caraka, R. E., Agus, A., Ariffin, A. A. M., Gio, P. U., Chen, R. C., & Lee, Y. (2020).

An Investigation of Online Food Aggregator (Ofa) Service: Do Online and Offline Service Quality Distinct? Serbian Journal of Management, 15(2), 277–294.

https://doi.org/10.5937/sjm15-24761

Zulkarnain, K., Ismail, Y., Haque, A. A., & Ahmed, S. (2015). Key success factors of online food ordering services: an empirical study, Malaysian Management Review, 50(2), 19-36.

Appendices Frequency Table

Gender

Frequency Percent Valid Percent Cumulative Percent

Valid Male 263 52.6 52.6 52.6

Female 237 47.4 47.4 100.0

Total 500 100.0 100.0

Age

Frequency Percent Valid Percent Cumulative Percent

Valid 18-21 169 33.8 33.8 33.8

22-23 258 51.6 51.6 85.4

24-25 61 12.2 12.2 97.6

Above 25 12 2.4 2.4 100.0

Total 500 100.0 100.0

Education level

Frequency Percent Valid Percent Cumulative Percent

Valid SPM 2 .4 .4 .4

Diploma/Foundation 65 13.0 13.0 13.4

Bachelor/Degree 426 85.2 85.2 98.6

Master 3 .6 .6 99.2

PhD 4 .8 .8 100.0

Total 500 100.0 100.0

Ethnic Group

Frequency Percent Valid Percent Cumulative

Percent

Valid Chinese 432 86.4 86.4 86.4

India 68 13.6 13.6 100.0

Total 500 100.0 100.0

Marital Status

Frequency Percent Valid Percent Cumulative Percent

Valid Single 496 99.2 99.2 99.2

Married 4 .8 .8 100.0

Total 500 100.0 100.0

How often do you order online food delivery services ?

Frequency Percent Valid Percent Cumulative Percent

Valid Daily 61 12.2 12.2 12.2

Weekly 236 47.2 47.2 59.4

Monthly 169 33.8 33.8 93.2

Rarely 8 1.6 1.6 94.8

Never 26 5.2 5.2 100.0

Total 500 100.0 100.0

Model Summary

b

Model R R Square Adjusted R

Square Std. Error of

the Estimate Durbin-Watson

1 .867a .751 .749 1.94443 2.028

a. Predictors: (Constant), F, B, C, E, D b. Dependent Variable: G

ANOVA

a

Model Sum of Squares df Mean Square F Sig.

1 Regression 5637.202 5 1127.440 298.201 .000b

Residual 1867.716 494 3.781

Total 7504.918 499

a. Dependent Variable: G

b. Predictors: (Constant), F, B, C, E, D

Coefficients

a

Model

Unstandardized Coefficients Standardized Coefficients

t Sig.

B Std. Error Beta

1 (Constant) -2.952 .685 -4.311 .000

B .330 .030 .399 10.948 .000

C .515 .059 .337 8.677 .000

D -.219 .081 -.121 -2.693 .007

E .370 .055 .267 6.674 .000

F .106 .052 .083 2.054 .041

Frequency Table

B

Frequency Percent Valid Percent Cumulative Percent

Valid 16.00 4 .8 .8 .8

19.00 11 2.2 2.2 3.0

20.00 12 2.4 2.4 5.4

21.00 4 .8 .8 6.2

22.00 16 3.2 3.2 9.4

23.00 27 5.4 5.4 14.8

24.00 17 3.4 3.4 18.2

25.00 44 8.8 8.8 27.0

26.00 15 3.0 3.0 30.0

27.00 34 6.8 6.8 36.8

28.00 11 2.2 2.2 39.0

29.00 34 6.8 6.8 45.8

30.00 46 9.2 9.2 55.0

31.00 20 4.0 4.0 59.0

32.00 70 14.0 14.0 73.0

33.00 56 11.2 11.2 84.2

34.00 48 9.6 9.6 93.8

36.00 17 3.4 3.4 97.2

38.00 14 2.8 2.8 100.0

Total 500 100.0 100.0

C

Frequency Percent Valid Percent Cumulative Percent

Valid 10.00 4 .8 .8 .8

13.00 3 .6 .6 1.4

14.00 16 3.2 3.2 4.6

15.00 52 10.4 10.4 15.0

16.00 28 5.6 5.6 20.6

17.00 31 6.2 6.2 26.8

18.00 50 10.0 10.0 36.8

19.00 51 10.2 10.2 47.0

20.00 127 25.4 25.4 72.4

21.00 99 19.8 19.8 92.2

22.00 25 5.0 5.0 97.2

23.00 4 .8 .8 98.0

24.00 3 .6 .6 98.6

25.00 7 1.4 1.4 100.0

Total 500 100.0 100.0

D

Frequency Percent Valid Percent Cumulative Percent

Valid 8.00 4 .8 .8 .8

11.00 23 4.6 4.6 5.4

12.00 33 6.6 6.6 12.0

13.00 54 10.8 10.8 22.8

14.00 70 14.0 14.0 36.8

15.00 63 12.6 12.6 49.4

16.00 106 21.2 21.2 70.6

17.00 92 18.4 18.4 89.0

18.00 37 7.4 7.4 96.4

19.00 12 2.4 2.4 98.8

20.00 6 1.2 1.2 100.0

Total 500 100.0 100.0

E

Frequency Percent Valid Percent Cumulative Percent

Valid 5.00 4 .8 .8 .8

10.00 4 .8 .8 1.6

13.00 4 .8 .8 2.4

14.00 26 5.2 5.2 7.6

15.00 68 13.6 13.6 21.2

16.00 27 5.4 5.4 26.6

18.00 58 11.6 11.6 38.2

19.00 99 19.8 19.8 58.0

20.00 128 25.6 25.6 83.6

21.00 34 6.8 6.8 90.4

22.00 41 8.2 8.2 98.6

23.00 4 .8 .8 99.4

25.00 3 .6 .6 100.0

Total 500 100.0 100.0

F

Frequency Percent Valid Percent Cumulative Percent

Valid 5.00 4 .8 .8 .8

10.00 4 .8 .8 1.6

14.00 12 2.4 2.4 4.0

15.00 40 8.0 8.0 12.0

16.00 50 10.0 10.0 22.0

17.00 18 3.6 3.6 25.6

18.00 47 9.4 9.4 35.0

19.00 35 7.0 7.0 42.0

20.00 135 27.0 27.0 69.0

21.00 56 11.2 11.2 80.2

22.00 61 12.2 12.2 92.4

23.00 8 1.6 1.6 94.0

24.00 12 2.4 2.4 96.4

25.00 18 3.6 3.6 100.0

Total 500 100.0 100.0

G

Frequency Percent Valid Percent Cumulative Percent

Valid 12.00 8 1.6 1.6 1.6

13.00 3 .6 .6 2.2

14.00 4 .8 .8 3.0

15.00 31 6.2 6.2 9.2

16.00 12 2.4 2.4 11.6

17.00 8 1.6 1.6 13.2

18.00 46 9.2 9.2 22.4

19.00 24 4.8 4.8 27.2

20.00 38 7.6 7.6 34.8

21.00 53 10.6 10.6 45.4

22.00 22 4.4 4.4 49.8

23.00 31 6.2 6.2 56.0

24.00 70 14.0 14.0 70.0

25.00 49 9.8 9.8 79.8

26.00 41 8.2 8.2 88.0

27.00 60 12.0 12.0 100.0

Total 500 100.0 100.0

Cover page

Table of content

UBMZ3016 Research Project: Factors Affecting Customer Loyalty of Delivery Services

Dear respondents,

We are students in Bachelor of Business Administration from University Tunku Abdul Rahman (UTAR). We are currently conducting a survey under the assignment of UBMZ3016 Research Project. The main objective of this survey is to complete our study on factors affecting customer loyalty of delivery service.

There are 7 sections in this questionnaire. Section A is on demographics. Section B, C and D,E,F,G cover all of the variables in this study. Please read carefully before answering the questions. Please answer All questions in ALL section. Completion of this questionnaire will take you approximate 5 to 10 minutes.

All the information provided will be treated as confidential and private. This information is solely for academic purposes.

Thank you so much for filling up the survey form. Your responses are much appreciated to help us in completing the assignment. We appreciate your time in completing the survey.

If you have any question regarding to this survey questions, you may contact us via email.

Best Regards,

1.Teoh Kok Wey 1906843 [email protected]

2.Tan Yu Tong 1801777 [email protected]

3.Natasha Low Khamay 1801353 [email protected] 4.Lee Rong Sheng 1804157 [email protected]

5. Yap Guan San 1906815 [email protected]

UBMZ3016 Research Project: Factors Affecting Customer Loyalty of Delivery Services

Please be informed that in accordance with Personal Data Protection Act 2010 (“PDPA”) which came into force on 15 November 2013, Universiti Tunku Abdul Rahman (“UTAR”) is hereby bound to make notice and require consent in relation to collection, recording, storage, usage and retention of personal information.

Notice:

1. The purposes for which your personal data may be used are inclusive but not limited to:-

 For assessment of any application to UTAR

 For processing any benefits and services

 For communication purposes

 For advertorial and news

 For general administration and record purposes

 For enhancing the value of education

 For educational and related purposes consequential to UTAR

 For the purpose of our corporate governance

 For consideration as a guarantor for UTAR staff/ student applying for his/her scholarship/

study loan

2. Your personal data may be transferred and/or disclosed to third party and/or UTAR collaborative partners including but not limited to the respective and appointed outsourcing agents for purpose of fulfilling our obligations to you in respect of the purposes and all such other purposes that are related to the purposes and also in providing integrated services, maintaining and storing records. Your data may be shared when required by laws and when disclosure is necessary to comply with applicable laws.

3. Any personal information retained by UTAR shall be destroyed and/or deleted in accordance with our retention policy applicable for us in the event such information is no longer required.

4. UTAR is committed in ensuring the confidentiality, protection, security and accuracy of your personal information made available to us and it has been our ongoing strict policy to ensure that your personal information is accurate, complete, not misleading and updated.

UTAR would also ensure that your personal data shall not be used for political and commercial purposes.

Consent:

1. By submitting this form you hereby authorise and consent to us processing (including disclosing) your personal data and any updates of your information, for the purposes and/or for any other purposes related to the purpose.

2. If you do not consent or subsequently withdraw your consent to the processing and disclosure of your personal data, UTAR will not be able to fulfill our obligations or to contact you or to assist you in respect of the purposes and/or for any other purposes related to the purpose.

3. You may access and update your personal data by writing to us at [email protected].

Acknowledgment of Notice

( ) I have been notified by you and that I hereby understood, consented and agreed per UTAR above notice

( ) I disagree, my personal data will not be processed.

Section A: Demographic Profile

Please choose one option for each of the following:

1) Gender:

( ) Male ( ) Female

2) Age:

( short answer )

3) Education Group ( ) Diploma

( ) Bachelor of Degree ( ) Master Degree

( ) PHD ( ) Others:

4) Ethnic Group ( ) Chinese ( ) India ( ) Malay ( ) Others:

5) Marital status ( ) Single ( ) Married ( ) Others:

6) How often do you order online food delivery services ? ( ) Daily

( ) Weekly ( ) Monthly ( ) Others:

Section B: Price Quality

Based on your experience, please choose the most appropriate option that best indicate your agreement level about the following statements.

No. Questions Strongly

Disagree Disagree Neutral Agree Strongly Agree 1. The prices offered by the Grab

Food app is affordable.

2. I think that tax price in using Grab Food services is reasonable.

3. I can save money by using prices of different online OFD services.

4. I think delivery price of Grab Food services are reasonable.

5. I feel that discount provided encourages me to use OFD services.

6. Grab Food offer good value for money.

7. Discounts received through online purchase are satisfactory.

8. When I order through the Grab Food app, the food quality is based on the price.

Section C: Service Quality

Based on your experience, please choose the most appropriate option that best indicate your agreement level about the following statements.

No. Questions Strongly

Disagree Disagree Neutral Agree Strongly Agree 1. Grab Food app has made it

easier for me to find my desired needs

2. The delivery time made by Grab Food is always be on time.

3. The delivering order is as promised.

4. The services of Grab Food employees are above my expectations

5. The service quality of Grab Food is good enough to satisfy me

Section D: Information quality

Based on your experience, please choose the most appropriate option that best indicate your agreement level about the following statements.

No. Questions Strongly

Disagree Disagree Neutral Agree Strongly Agree 1. The application is user friendly

2. Grab Food always has the latest food shown in the app

3. I have to learn a lot before I could use the Grab Food system.

4. Grab Food application has sufficient information about the food offered

Section E: Food Quality

Based on your experience, please choose the most appropriate option that best indicate your agreement level about the following statements.

No. Questions Strongly

Disagree Disagree Neutral Agree Strongly Agree 1. The food ordered on Grab Food

is as advertised

2. I am satisfied with the quality of food that I ordered.

3. The packaging on the food is satisfactory when delivered 4. The food delivered by Grab

Food is as good as the food i eat in the restaurant

5. Food standards meet the expectation for the price paid.

Section F: Privacy and Security

Based on your experience, please choose the most appropriate option that best indicate your agreement level about the following statements.

No. Questions Strongly

Disagree Disagree Neutral Agree Strongly Agree 1. Grab Food application protects

personal/ confidential information.

2. Grab Food Application provides good security

3. Payment information is safe to kept in Grab Food Application 4. Grab Food application keeps my

shopping behavior information.

5. Grab Food apps is trustworthy.

Section G: Customer loyalty

Based on your experience, please choose the most appropriate option that best indicate your agreement level about the following statements.

No. Questions Strongly

Disagree Disagree Neutral Agree Strongly Agree 1. I would like to continue using

Grab Food to order food.

2. I would continue to order from the online food delivery app even if there is a price increase in Grab Food

3. I would recommend Grab Food to other people.

4. Food delivery in Grab Food app is beyond my expectation.

5. I would consider the use of Grab food app over other delivery apps.

6. I am comfortable shopping at Grab food application

Dokumen terkait